Abstract
5G Millimetre-wave (mmWave) utilizes frequencies ranging from 24 GHz to 100 GHz. There are various scheduling techniques in 5G mmWave, which work distinctly for different applications. Time-sensitive applications are very sensitive to the response time of resource allocation requests. We have compared the performance of various media access control (MAC) schedulers in scarce resources and the high demand of resources in the 5G mmWave network to find the optimal scheduler for the scenarios. We have used Netsim version 12.02 for the simulation.
We have created the simulation test-bed with user equipment (UEs) placed at different locations with different constant bit rate (CBR) applications in the 5G mmWave network and recorded the necessary observations. We have considered network metrics like throughput, delay, jitter, and a few other parameters to evaluate network performance. After analyzing data, we have found that max throughput is best suited for time-sensitive applications when UEs are placed near the next-generation base station (gNB). We arrived at this conclusion because throughput is approximately 33% and 6% higher than round-robin and Fair Scheduling algorithms. The delay of round-robin and Fair Scheduling is 192% and 231% higher than the max throughput. Also, jitter is almost 300% higher for the same. Similarly, The fair Scheduling algorithm is best suited for time-sensitive applications, placed far away from gNB, compared to round-robin, max throughput, and proportional fair Scheduling algorithms. Our findings will help service providers with limited resources and critical and time-sensitive applications.
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Majumder, S., Biswas, A. (2022). Optimal MAC Scheduling Algorithm for Time-Sensitive Applications in Multi-UE Scenarios in 5G NR MmWave. In: Mukhopadhyay, S., Sarkar, S., Dutta, P., Mandal, J.K., Roy, S. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2022. Communications in Computer and Information Science, vol 1579. Springer, Cham. https://doi.org/10.1007/978-3-031-10766-5_17
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